Manager Simulation Modeler Engineer

About the role

Job Function: Supply Chain Engineering
Job Sub Function: Process Engineering
Job Category: People Leader
All Job Posting Locations: Raritan, New Jersey, United States of America

Responsibilities

• Lead the design, development, and delivery of end-to-end discrete-event simulation models in Simio to analyze and optimize complex manufacturing and operations processes.
• Drive process improvement programs using simulation to identify bottlenecks, quantify benefits, and define implementation roadmaps.
• Guide change management activities to ensure successful adoption of simulation insights, including stakeholder engagement, training, and communication plans.
• Facilitate decision-making forums by delivering clear, data-driven narratives and visuals; produce executive-friendly reports and dashboards.

Qualifications

• Minimum 5 years of hands-on experience in discrete-event simulation, preferably with Simio; a track record of delivering impact through simulation in complex environments.
• Strong capability in modeling, data analysis, and storytelling with data; able to translate complex models into clear, actionable business recommendations.
• Proficiency with programming/scripting to support models and data processing (e.g., Python, R, or equivalent) and familiarity with data visualization tools.
• Excellent communication, presentation, and leadership skills; proven ability to lead multi-functional teams and drive organizational change.
• Bachelor's degree in Engineering, Operations Research, Industrial Engineering, Chemical Engineering, Computer Science, Statistics, or a related discipline. Master’s degree preferred.

Preferred Qualifications & Experience

• Experience with pharmaceutical manufacturing processes and GMP/quality systems is highly desirable.
• Exposure to optimization concepts (e.g., LP, MILP, MINLP) and their integration with simulation; while optimization is a secondary focus, familiarity is advantageous.
• Experience implementing simulation-driven solutions across manufacturing floors or large-scale operations.
• Knowledge of process improvement methodologies (e.g., Lean, Six Sigma) and their application via simulation.
• Strategic thinker with the ability to connect simulation outcomes to business goals and financial impact.
• Change-agent mindset: comfortable driving adoption, training, and stakeholder alignment.

Tools and Capabilities

• Primary: Simio for discrete-event simulation modeling.
• Data & analysis: Python, R, Pandas, Excel; data extraction and cleaning to feed models.
• Visualization: Power BI, Tableau, or equivalent for communicating results.

Pay Range

The anticipated base pay range for this position is: $102,000 - $173,400

Additional Information

For Pay Transparency
Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits:

• Vacation – 120 hours per calendar year
• Sick time - 40 hours per calendar year; for employees who reside in the State of Washington – 56 hours per calendar year
• Holiday pay, including Floating Holidays – 13 days per calendar year
• Work, Personal and Family Time - up to 40 hours per year
• Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
• Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
• Caregiver Leave – 10 days
• Volunteer Leave – 4 days
• Military Spouse Time-Off – 80 hours

Additional information can be found through the link below.

https://www.careers.jnj.com/employee-benefits